Knowing the prompt engineering techniques

Let’s use what we’ve learned with some ChatGPT prompting techniques and use cases that are specific to conversational AI.

In this section, we will delve into advanced prompt engineering techniques, aiming to leverage the full potential of ChatGPT for specialized use cases within conversational AI. We’ll explore methods such as few-shot learning for targeted responses, summarization for data interpretation, and the iterative refinement of prompts for a travel chatbot. Each technique is designed to refine the AI’s understanding and output, ensuring that the resulting interactions are as effective and relevant as possible to the task at hand. Whether it’s shaping a customer support chatbot or integrating LLMs for data summarization, this section should help you learn to use the most useful prompt techniques.

Few-shot learning for a customer support chatbot

A common way to prompt ChatGPT with context...